Digital Literacy for St. Cloud State University
|
||||||
|
++++++++++++
my notes from the meeting:
CMS do not cut it anymore
class sections are obsolete in online environment
++++++++++++++
more on future trends in this IMS blog
https://blog.stcloudstate.edu/ims?s=future+trends
You’ll Need A Facebook Account To Use Future Oculus Headsets – Support For Separate Oculus Accounts Will End In 2023 from r/technology
The Facebook-owned company says it will start removing support for separate Oculus accounts in October, although users can maintain an existing account until January 1st, 2023. All users can maintain a distinct “VR profile” with a separate friends list.
Facebook also says that all future unreleased Oculus devices will require a Facebook login, even if you’ve got a separate account already. The company is widely expected to announce a new version of its Oculus Quest headset this fall, and that policy would likely apply to it.
A single login also slightly simplifies launching experiences like Horizon, the social VR world that Facebook announced last year.
+++++++++++++++++
More on Oculus and Facebook in this IMS blog:
https://blog.stcloudstate.edu/ims?s=oculus+facebook
The Secretive Company That Might End Privacy as We Know It: It’s taken 3 billion images from the internet to build a an AI driven database that allows US law enforcement agencies identify any stranger. from r/Futurology
Until now, technology that readily identifies everyone based on his or her face has been taboo because of its radical erosion of privacy. Tech companies capable of releasing such a tool have refrained from doing so; in 2011, Google’s chairman at the time said it was the one technology the company had held back because it could be used “in a very bad way.” Some large cities, including San Francisco, have barred police from using facial
But without public scrutiny, more than 600 law enforcement agencies have started using Clearview in the past year, according to the company, which declined to provide a list. recognition technology.
Facial recognition technology has always been controversial. It makes people nervous about Big Brother. It has a tendency to deliver false matches for certain groups, like people of color. And some facial recognition products used by the police — including Clearview’s — haven’t been vetted by independent experts.
Clearview deployed current and former Republican officials to approach police forces, offering free trials and annual licenses for as little as $2,000. Mr. Schwartz tapped his political connections to help make government officials aware of the tool, according to Mr. Ton-That.
“We have no data to suggest this tool is accurate,” said Clare Garvie, a researcher at Georgetown University’s Center on Privacy and Technology, who has studied the government’s use of facial recognition. “The larger the database, the larger the risk of misidentification because of the doppelgänger effect. They’re talking about a massive database of random people they’ve found on the internet.”
Law enforcement is using a facial recognition app with huge privacy issues Clearview AI’s software can find matches in billions of internet images. from r/technology
Part of the problem stems from a lack of oversight. There has been no real public input into adoption of Clearview’s software, and the company’s ability to safeguard data hasn’t been tested in practice. Clearview itself remained highly secretive until late 2019.
The software also appears to explicitly violate policies at Facebook and elsewhere against collecting users’ images en masse.
while there’s underlying code that could theoretically be used for augmented reality glasses that could identify people on the street, Ton-That said there were no plans for such a design.
https://www.nytimes.com/2020/01/20/opinion/facial-recognition-ban-privacy.html
In May of last year, San Francisco banned facial recognition; the neighboring city of Oakland soon followed, as did Somerville and Brookline in Massachusetts (a statewide ban may follow). In December, San Diego suspended a facial recognition program in advance of a new statewide law, which declared it illegal, coming into effect. Forty major music festivals pledged not to use the technology, and activists are calling for a nationwide ban. Many Democratic presidential candidates support at least a partial ban on the technology.
facial recognition bans are the wrong way to fight against modern surveillance. Focusing on one particular identification method misconstrues the nature of the surveillance society we’re in the process of building. Ubiquitous mass surveillance is increasingly the norm. In countries like China, a surveillance infrastructure is being built by the government for social control. In countries like the United States, it’s being built by corporations in order to influence our buying behavior, and is incidentally used by the government.
People can be identified at a distance by their heart beat or by their gait, using a laser-based system. Cameras are so good that they can read fingerprints and iris patterns from meters away. And even without any of these technologies, we can always be identified because our smartphones broadcast unique numbers called MAC addresses.
China, for example, uses multiple identification technologies to support its surveillance state.
There is a huge — and almost entirely unregulated — data broker industry in the United States that trades on our information.
This is why many companies buy license plate data from states. It’s also why companies like Google are buying health records, and part of the reason Google bought the company Fitbit, along with all of its data.
The data broker industry is almost entirely unregulated; there’s only one law — passed in Vermont in 2018 — that requires data brokers to register and explain in broad terms what kind of data they collect.
The Secretive Company That Might End Privacy as We Know It from r/technews
https://www.nytimes.com/2020/01/18/technology/clearview-privacy-facial-recognition.html
Until now, technology that readily identifies everyone based on his or her face has been taboo because of its radical erosion of privacy. Tech companies capable of releasing such a tool have refrained from doing so; in 2011, Google’s chairman at the time said it was the one technology the company had held back because it could be used “in a very bad way.” Some large cities, including San Francisco, have barred police from using facial recognition technology.
+++++++++++++
on social credit system in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+credit
https://stcloudstate.learn.minnstate.edu/d2l/home/4819732
Jan. 21, MC 205 (how to get to the PDR room:
Plan: learn to create, edit and use still 360 degrees images and videos.
#scalability
https://www.digitaltrends.com/photography/how-to-edit-360-photos-in-photoshop/
https://tonyredhead.com/adobe/360-photoshop-advanced-editing
Phot
Error messages working with Action Director
More on VR in this IMS blog:
https://blog.stcloudstate.edu/ims/2018/11/01/vendors-for-vr/
https://docs.google.com/document/d/1efFVsOIwxlTO2Qy-onKbG0dgr8qum3onq3bgFkaVfec/edit?usp=sharing
#LTC2019
keynote: equitable access to information
https://sched.co/JAqk
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.
semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words
lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).
conceptnet. debias along different demographic dimensions.
citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.
geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.
danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.
collective action against tech: Reddit, boycott for FB and Instagram.
Mechanical Turk https://www.mturk.com/ algorithmic / human intersection
data labor: what the primary resources this companies have. posts, images, reviews etc.
boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.
the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.
++++++++++++++++++
Twitter and Other Social Media: Supporting New Types of Research Materials
how to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,
tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot
engagement option
social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)
graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)
Facepager (open source) if not Python or R coder. structure and download the data sets.
TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.
social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.
legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.
methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.
methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.
ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.
table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.
takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,
++++++++++++++
the pilot process. 2017. 3D printing, approaching and assessing success or failure. https://collegepilot.wiscweb.wisc.edu/
development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.
An experience station. clean up free apps.
question: spherical video, video 360.
safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift
app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.
College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.
CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/
+++++++++++++++++
Access for All:
Leah Root
bloat code (e.g. cleaning up MS Word code)
ILLiad Doctype and Language declaration helps people with disabilities.
+++++++++++++++++++
A Seat at the Table: Embedding the Library in Curriculum Development
embed library resources.
libraians, IT staff, IDs. help faculty with course design, primarily online, master courses. Concordia is GROWING, mostly because of online students.
solve issues (putting down fires, such as “gradebook” on BB). Librarians : research and resources experts. Librarians helping with LMS. Broadening definition of Library as support hub.
Burdick, A. (2012). Digital humanities . Cambridge, MA: MIT Press.
digital humanities is born f the encounter between traditional humanities and computational methods.
p. 5. From Humanism to Humanities
While the foundations of of humanistic inquiry and the liberal arts can be traced back in the west to the medieval trivium and quadrivium, the modern and human sciences are rooted in the Renaissance shift from a medieval, church dominated, theocratic world view to be human centered one period the gradual transformation of early humanism into the disciplines that make up the humanities today Was profoundly shaped by the editorial practices involved in the recovery of the corpus of works from classical antiquity
p. 13.
Cultural Analytics, aggregation, and data mining.
The field of cultural Analytics has emerged over the past few years, utilizing tools of high-end computational analysis and data visualization today sect large-scale coach data sets. Cultural Analytic does Not analyze cultural artifacts, but operates on the level of digital models of this materials in aggregate. Again, the point is not to pit “close” hermeneutic reading against “distant” data mapping, but rather to appreciate the synergistic possibilities and tensions that exist between a hyper localized, deep analysis and a microcosmic view
p. 42.
+++++++++++++++++++++++++++
Warwick, C., Terras, M., & Nyhan, J. (2012). Digital humanities in practice . London: Facet Publishing in association with UCL Centre for Digital Humanities.
Planning on quitting the social platform? A major new study offers a glimpse of what unplugging might do for your life. (Spoiler: It’s not so bad.)
Benedict Carey, Jan 30, 2019
https://global9janews.wordpress.com/2019/01/31/this-is-your-brain-off-facebook-by-benedict-carey/
So what happens if you actually do quit? A new study, the most comprehensive to date, offers a preview.
Well before news broke that Facebook had shared users’ data without consent, scientists and habitual users debated how the platform had changed the experience of daily life.
the use of Facebook and other social media is linked to mental distress, especially in adolescents.
Others have likened habitual Facebook use to a mental disorder, comparing it to drug addiction and even publishing magnetic-resonance images of what Facebook addiction “looks like in the brain.”
When Facebook has published its own analyses to test such claims, the company has been roundly criticized.
For abstainers, breaking up with Facebook freed up about an hour a day, on average, and more than twice that for the heaviest users.
research led by Ethan Kross, a professor of psychology at the University of Michigan, has found that high levels of passive browsing on social media predict lowered moods, compared to more active engagement.
++++++++++++
more on Facebook in this IMS blog
https://blog.stcloudstate.edu/ims?s=facebook
Filters have never been more prevalent – and it’s leading some people to have fillers, Botox and other procedures. What’s behind the obsessive pursuit of a flawless look?
The phenomenon of people requesting procedures to resemble their digital image has been referred to – sometimes flippantly, sometimes as a harbinger of end times – as “Snapchat dysmorphia”. The term was coined by the cosmetic doctor Tijion Esho, founder of the Esho clinics in London and Newcastle.
A recent report in the US medical journal JAMA Facial Plastic Surgery suggested that filtered images’ “blurring the line of reality and fantasy” could be triggering body dysmorphic disorder (BDD), a mental health condition where people become fixated on imagined defects in their appearance.
A 2017 study into “selfitis”, as the obsessive taking of selfies has been called, found a range of motivations, from seeking social status to shaking off depressive thoughts and – of course – capturing a memorable moment. Another study suggested that selfies served “a private and internal purpose”, with the majority never shared with anyone or posted anywhere – terabytes, even petabytes of photographs never to be seen by anyone other than their subject.
However, a 2017 study in the journal Cognitive Research: Principles and Implications found that people only recognised manipulated images 60%-65% of the time.
++++++++++
more on social media in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media
guide (available as PDF here and Google Doc here) to offer some explanations of how to avoid copyright infringement by using media that you can legally re-use for classroom projects including blog posts, web pages, videos, slideshows, and podcasts. The guide also includes 21 places to find media to use in classroom projects.
FOR MORE INFO ON COPYRIGHT AND RELATED (fair use, Creative Commons etc.): contact Rachel Wexelbaum, rwexelabum@stcloudstate.edu
Please have an excellent outline of what “free” means, what is Creative Commons, what is Public Domain + stock sites with images:
and many more at http://blog.bufferapp.com/free-image-sources-list
+++++++++++++++++++++++++++
more on free visuals in this iMS blog
https://blog.stcloudstate.edu/ims/2016/04/07/stock-photos/
https://blog.stcloudstate.edu/ims/2014/06/01/social-media-and-presentations-free-image-sources/
https://blog.stcloudstate.edu/ims/2018/11/01/public-domain-video-clips/
http://www.freeimages.co.uk/index.htm
http://www.socialmediatoday.com/marketing/2015-02-27/20-sites-get-free-stock-images-commercial-use
NICHOLAS THOMPSON AND Issy Lapowsky 12.17.18
https://www.wired.com/story/russia-ira-propaganda-senate-report/
THERE’S A MEME on Instagram, circulated by a group called “Born Liberal.” “Born Liberal” was a creation of the Internet Research Agency, the Russian propaganda wing
Conversations around the IRA’s operations traditionally have focused on Facebook and Twitter, but like any hip millennial, the IRA was actually most obsessive about Instagram.
the IRA deployed 3,841 accounts, including several personas that “regularly played hashtag games.” That approach paid off; 1.4 million people engaged with the tweets, leading to nearly 73 million engagements. Most of this work was focused on news, while on Facebook and Instagram, the Russians prioritized “deeper relationships,” according to the researchers. On Facebook, the IRA notched a total of 3.3 million page followers, who engaged with their politically divisive content 76.5 million times. Russia’s most popular pages targeted the right wing and the black community. The trolls also knew their audiences; they deployed Pepe memes at pages intended for right-leaning millennials, but kept them away from posts directed at older conservative Facebook users. Not every attempt was a hit; while 33 of the 81 IRA Facebook pages had over 1,000 followers, dozens had none at all.
The report also points out new links between the IRA’s pages and Wikileaks, which helped disseminate hacked emails from Clinton campaign manager John Podesta
Russian presence unrelated to the relatively small ad spend that Facebook executives pointed to as the story first unfolded, in what the report authors describe as an attempt to downplay the problem.
“While many people think of memes as “cat pictures with words,” the Defense Department and DARPA have studied them for years as a powerful tool of cultural influence, capable of reinforcing or even changing values and behavior.
“over the past five years, disinformation has evolved from a nuisance into high-stakes information war.” And yet, rather than fighting back effectively, Americans are battling each other over what to do about it.
++++++++++
memetic warfare:
https://en.wikipedia.org/wiki/Memetic_warfare
++++++++++
A year after the Meme Warfare Center proposal was published, DARPA, the Pentagon agency that develops new military technology, commissioned a four-year study of memetics. The research was led by Dr. Robert Finkelstein, founder of the Robotic Technology Institute, and an academic with a background in physics and cybernetics.
Finkelstein’s study of “Military Memetics” centered on a basic problem in the field, determining “whether memetics can be established as a science with the ability to explain and predict phenomena.” It still had to be proved, in other words, that memes were actual components of reality and not just a nifty concept with great marketing.
+++++++++
++++++++++
more on social media in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media
